A model is presented for converting a collection of documents to hypertext by means of indexing. The documents are assumed to be semistructured, i.e., their text is a hierarchy of parts, and some of the parts consist of natural language. The model is intended as a framework for specifying hypertextual reading capabilities for specific application areas and for developing new automated tools for the conversion of semistructured text to hypertext.
INFORMATION STORAGE AND RETRIEVAL MATHEMATICAL LOGIC FORMAL LANGUAGES DATABASE MANAGEMENT DOCUMENT TEXT PROCESSING